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Compare Embedding Models

Side-by-side comparison of embedding model specifications

Cohere Embed English v3▾
Jina Embeddings v4 Jina Embeddings v3 Qwen3-Embedding-8B Gemini Embedding 001 mxbai-embed-large-v1 Cohere Embed v4✓ Cohere Embed English v3 Cohere Embed Multilingual v3 Voyage 3 Large GTE-Qwen2-7B-instruct Linq-Embed-Mistral LFM2-ColBERT-350M
Cohere Embed English v3Cohere
Linq-Embed-Mistral▾
Jina Embeddings v4 Jina Embeddings v3 Qwen3-Embedding-8B Gemini Embedding 001 mxbai-embed-large-v1 Cohere Embed v4 Cohere Embed English v3 Cohere Embed Multilingual v3 Voyage 3 Large GTE-Qwen2-7B-instruct✓ Linq-Embed-Mistral LFM2-ColBERT-350M
Linq-Embed-MistralLinq AI
Gemini Embedding 001▾
Jina Embeddings v4 Jina Embeddings v3 Qwen3-Embedding-8B✓ Gemini Embedding 001 mxbai-embed-large-v1 Cohere Embed v4 Cohere Embed English v3 Cohere Embed Multilingual v3 Voyage 3 Large GTE-Qwen2-7B-instruct Linq-Embed-Mistral LFM2-ColBERT-350M
Gemini Embedding 001Google
Qwen3-Embedding-8B▾
Jina Embeddings v4 Jina Embeddings v3✓ Qwen3-Embedding-8B Gemini Embedding 001 mxbai-embed-large-v1 Cohere Embed v4 Cohere Embed English v3 Cohere Embed Multilingual v3 Voyage 3 Large GTE-Qwen2-7B-instruct Linq-Embed-Mistral LFM2-ColBERT-350M
Qwen3-Embedding-8BQwen
SPECIFICATIONS
Max dimension 1K 4K 3K 4K
Max tokens 512 4K 2K 33K
Parameters — 7B — 8B
License Proprietary Apache 2.0 Proprietary Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes — —
1282565127681024153620483072
3264128256512102420484096
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image ✓ — — —
PDF — — — —
OUTPUT TYPES
Single vector ✓ ✓ ✓ ✓
Multi vector — — — —
LANGUAGE SUPPORT
Languages — 🌍 Multi 🌍 Multi 🌍 100+
PRICING
Per 1M tokens — — $0.150 —
BENCHMARKS
CMTEB CHINESE — — — 73.84
MTEB 1536D — — 68.17 —
MTEB 2048D — — 68.16 —
MTEB 768D — — 67.99 —
MTEB AVG 64.47 68.20 — —
MTEB EN V2 — — — 75.22
MTEB MULTILINGUAL — — — 70.58
MTEB MULTILINGUAL AVG — — 68.32 —
MTEB RETRIEVAL 55.00 60.20 — —